Intelligent Image-Activated Cell Sorting and Beyond

We present a groundbreaking machine intelligence technology called “intelligent image-activated cell sorting” that achieves high-throughput image-triggered sorting of single cells by integrating high-speed fluorescence microscopy, cell focusing, cell sorting, and deep learning

Intelligent Image-Activated Cell Sorting and Beyond

We present a groundbreaking machine intelligence technology called “intelligent image-activated cell sorting” that achieves high-throughput image-triggered sorting of single cells by integrating high-speed fluorescence microscopy, cell focusing, cell sorting, and deep learning

Forgeability of AZ Series Magnesium Alloy produced by Twin Roll Casting

Plastic forming of magnesium alloy is hardly reported because of its low forgeability. The productions of magnesium alloy are mainly produced by casting. Typical wrought magnesium alloy is AZ31. Magnesium-aluminum alloy indicates maximum elongation when the composition includes 3% aluminum. When the magnesium alloy includes over 3% aluminum, its elongation slightly decreases. Therefore, AZ31 that include 3% aluminum and 1% zinc is generally used for plastic forming. The more increasing aluminum composition, the larger 0.2% proof stress becomes. However its forgeability is decreasing because of precipitation of β phase such as Mg17Al12. It is supposed that the β phase is refined by rapid cooling casting process such as twin roll casting. In this paper, the magnesium alloy thick sheet of AZ91, AZ121 and AZ131 for hot forging, that include 9%, 12% and 13% aluminum composition respectively, was produced by twin roll strip casting process. And the forgeability of high aluminum containing magnesium alloy was investigated by die forging. As a result, it was possible to forge their magnesium alloys

キアンコウ(Lophius litulon)におけるレクチン活性の探索

Fish eggs or roe often contain rhamnose-binding lectins (RBLs) that have unique properties among animal lectins in the carbohydrate recognition and domain structure. To investigate new lectin activity in deep-sea fishes,we attempted to extract proteins from eggs (GFE) and liver (GFL) of goose fish,Lophius litulon. The crude saline-extracted fraction (SEF) was obtained from acetone-dried powders of GFE and GFL.Each SEF was separated by DEAE-ion exchange chromatography. Contrary to our expectation,any DEAE fractions had no hemaggulatination activity on rabbit erythrocytes. On the other hand,S-180 mouse ascites tumor cells were strongly aggutinated by GFL D100,D200 and SC fractions with the final concentrations required minimum agglutination,65.0, 98.75 and 112.5ug/mL,respectively. Whereas any typical ligand molecules including carbohydrates and glycoconjugates showed no inhibitory effect for such tumor cell agglutination,several protease inhibitors including phenylmethanesufonyl fluoride and EDTA could do that. agglutination was caused by their proteolytic activity on the tumor cell surface components.The results from additional separation by hydroxyapatite column chromatography,SDS-PAGE and zymography indicated that putative candidates possessing proteolytic activity might be ca. 100 or 45 kDa proteins

Hyperoxemia and excess oxygen use in early acute respiratory distress syndrome : Insights from the LUNG SAFE study

Publisher Copyright: © 2020 The Author(s). Copyright: Copyright 2020 Elsevier B.V., All rights reserved.Background: Concerns exist regarding the prevalence and impact of unnecessary oxygen use in patients with acute respiratory distress syndrome (ARDS). We examined this issue in patients with ARDS enrolled in the Large observational study to UNderstand the Global impact of Severe Acute respiratory FailurE (LUNG SAFE) study. Methods: In this secondary analysis of the LUNG SAFE study, we wished to determine the prevalence and the outcomes associated with hyperoxemia on day 1, sustained hyperoxemia, and excessive oxygen use in patients with early ARDS. Patients who fulfilled criteria of ARDS on day 1 and day 2 of acute hypoxemic respiratory failure were categorized based on the presence of hyperoxemia (PaO2 > 100 mmHg) on day 1, sustained (i.e., present on day 1 and day 2) hyperoxemia, or excessive oxygen use (FIO2 ≥ 0.60 during hyperoxemia). Results: Of 2005 patients that met the inclusion criteria, 131 (6.5%) were hypoxemic (PaO2 < 55 mmHg), 607 (30%) had hyperoxemia on day 1, and 250 (12%) had sustained hyperoxemia. Excess FIO2 use occurred in 400 (66%) out of 607 patients with hyperoxemia. Excess FIO2 use decreased from day 1 to day 2 of ARDS, with most hyperoxemic patients on day 2 receiving relatively low FIO2. Multivariate analyses found no independent relationship between day 1 hyperoxemia, sustained hyperoxemia, or excess FIO2 use and adverse clinical outcomes. Mortality was 42% in patients with excess FIO2 use, compared to 39% in a propensity-matched sample of normoxemic (PaO2 55-100 mmHg) patients (P = 0.47). Conclusions: Hyperoxemia and excess oxygen use are both prevalent in early ARDS but are most often non-sustained. No relationship was found between hyperoxemia or excessive oxygen use and patient outcome in this cohort. Trial registration: LUNG-SAFE is registered with ClinicalTrials.gov, NCT02010073publishersversionPeer reviewe

Intelligent Image-Activated Cell Sorting

世界初のIntelligent Image-Activated Cell Sorterを開発 --細胞画像の深層学習により高速細胞選抜を実現--. 京都大学プレスリリース. 2018-09-05.A fundamental challenge of biology is to understand the vast heterogeneity of cells, particularly how cellular composition, structure, and morphology are linked to cellular physiology. Unfortunately, conventional technologies are limited in uncovering these relations. We present a machine-intelligence technology based on a radically different architecture that realizes real-time image-based intelligent cell sorting at an unprecedented rate. This technology, which we refer to as intelligent image-activated cell sorting, integrates high-throughput cell microscopy, focusing, and sorting on a hybrid software-hardware data-management infrastructure, enabling real-time automated operation for data acquisition, data processing, decision-making, and actuation. We use it to demonstrate real-time sorting of microalgal and blood cells based on intracellular protein localization and cell-cell interaction from large heterogeneous populations for studying photosynthesis and atherothrombosis, respectively. The technology is highly versatile and expected to enable machine-based scientific discovery in biological, pharmaceutical, and medical sciences